保护渣在线质量检测方法及系统
By combining asymmetric weighted penalized least squares method and continuous wavelet transform with synchronous fitting of asymmetric Lorentz function, the problems of background signal subtraction and spectral peak overlap in protective slag composition detection are solved, realizing accurate and reliable online detection of protective slag composition and meeting the real-time requirements of modern steel production.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIXIAXIAN YAOHUI METALLURGICAL MATERIAL CO LTD
- Filing Date
- 2025-10-11
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for detecting the composition of protective slag, such as X-ray fluorescence spectrometry, suffer from complex sample preparation, long detection cycles, high equipment costs, and the inability to perform in-situ online analysis. These methods fail to meet the real-time requirements of modern steel production for process control. Furthermore, traditional baseline correction methods cannot effectively eliminate complex background signals in laser-induced breakdown spectra, affecting the accuracy of elemental quantitative analysis.
Asymmetric weighted penalized least squares method is used for baseline correction. Combined with continuous wavelet transform and synchronous fitting of asymmetric Lorentz function, candidate spectral peaks are identified through multi-scale decomposition. Negative thresholds are set and residual analysis is used to optimize the fitting model, thereby achieving accurate detection of the components of protective slag.
It effectively removes the complex background in the laser-induced breakdown spectrum, improves the quality of the spectral signal, ensures the accuracy and reliability of quantitative analysis of elemental content, and meets the real-time detection needs of modern steel production.
Smart Images
Figure CN121275722B_ABST